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   "source": [
    "# 5. Appendix & References\n",
    "<hr>"
   ]
  },
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   "metadata": {},
   "source": [
    "### Data Sources Used:\n",
    "\n",
    "[Listing Data](http://data.beta.nyc/dataset/inside-airbnb-data/resource/9d64399b-36d6-40a9-b0bb-f26ae0d9c53f)\n",
    "\n",
    "[Listings Over Time Data (For Seasonality)](http://data.beta.nyc/dataset/inside-airbnb-data/resource/ce0cbf46-83f9-414a-8a1d-7fd5321d83ca)\n",
    "\n",
    "[Listing Data](http://data.beta.nyc/dataset/inside-airbnb-data/resource/8115833e-8a0e-4af6-8aed-4d96a0ae0b73)\n",
    "\n",
    "### Technologies Used\n",
    "- [Scikit learn](http://scikit-learn.org/stable)\n",
    "- [Pandas](http://pandas.pydata.org/)\n",
    "- [Numpy](http://www.numpy.org/)\n",
    "- [Jupyter Notebook](http://jupyter.org/)\n",
    "- [Matplotlib](http://matplotlib.org/)\n",
    "- [Seaborn](http://seaborn.pydata.org/)\n",
    "- [Scipy](https://www.scipy.org/)\n",
    "- Regression Models\n",
    "\t+ Linear Regression\n",
    "\t+ Ridge Regression\n",
    "\t+ Lasso Regression\n",
    "\t+ OMP (Orthogonal Matching Pursuit)\n",
    "\t+ Elastic Net\n",
    "\t+ Bayes Ridge Regression\n",
    "\t+ Random Forest Regressor\n"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Related Research:\n",
    "\n",
    "[Amato, Nick. “Predicting AirBnB Listing Prices with Scikit-Learn and Apache Spark\"](https://www.mapr.com/blog/predicting-airbnb-listing-prices-scikit-learn-and-apache-spark)\n",
    "\n",
    "[Tang, Sangani. “Neighborhood and Price Prediction for San Francisco Airbnb Listings”](http://cs229.stanford.edu/proj2015/236_report.pdf)\n"
   ]
  }
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